367 citations · 779 across the 12 of their papers we have counts for
12 papers
Hardware implementation of Bayesian network building blocks with stochastic spintronic devices
Punyashloka Debashis, Vaibhav Ostwal, Rafatul Faria +3
Bayesian networks are powerful statistical models to understand causal relationships in real-world probabilistic problems such as diagnosis, forecasting, computer vision, etc. For…
Hardware Design for Autonomous Bayesian Networks
Rafatul Faria, Jan Kaiser, Kerem Y. Camsari +1
Directed acyclic graphs or Bayesian networks that are popular in many AI related sectors for probabilistic inference and causal reasoning can be mapped to probabilistic circuits bu…
Correlated fluctuations in spin orbit torque-coupled perpendicular nanomagnets
Punyashloka Debashis, Rafatul Faria, Kerem Y. Camsari +2
Low barrier nanomagnets have attracted a lot of research interest for their use as sources of high quality true random number generation. More recently, low barrier nanomagnets wit…
Probabilistic Circuits for Autonomous Learning: A simulation study
Jan Kaiser, Rafatul Faria, Kerem Y. Camsari +1
Modern machine learning is based on powerful algorithms running on digital computing platforms and there is great interest in accelerating the learning process and making it more e…
Autonomous Probabilistic Coprocessing with Petaflips per Second
Brian Sutton, Rafatul Faria, Lakshmi A. Ghantasala +3
In this paper we present a concrete design for a probabilistic (p-) computer based on a network of p-bits, robust classical entities fluctuating between -1 and +1, with probabiliti…
Low Barrier Magnet Design for Efficient Hardware Binary Stochastic Neurons
Orchi Hassan, Rafatul Faria, Kerem Y. Camsari +2
Binary stochastic neurons (BSN's) form an integral part of many machine learning algorithms, motivating the development of hardware accelerators for this complex function. It has b…
Rectification in Spin-Orbit Materials Using Low Energy Barrier Magnets
Shehrin Sayed, Kerem Y. Camsari, Rafatul Faria +1
The coupling of spin-orbit materials to high energy barrier (40-60 ) nano-magnets has attracted growing interest for exciting new physics and various spintronic applica…
Implementing Bayesian Networks with Embedded Stochastic MRAM
Rafatul Faria, Kerem Y. Camsari, Supriyo Datta
Magnetic tunnel junctions (MTJ's) with low barrier magnets have been used to implement random number generators (RNG's) and it has recently been shown that such an MTJ connected to…
Equivalent Circuit for Magnetoelectric Read and Write Operations
Kerem Y. Camsari, Rafatul Faria, Orchi Hassan +2
We describe an equivalent circuit model applicable to a wide variety of magnetoelectric phenomena and use SPICE simulations to benchmark this model against experimental data. We us…
Low Barrier Nanomagnets as p-bits for Spin Logic
Rafatul Faria, Kerem Yunus Camsari, Supriyo Datta
It has recently been shown that a suitably interconnected network of tunable telegraphic noise generators or "p-bits" can be used to perform even precise arithmetic functions like…
Stochastic p-bits for Invertible Logic
Kerem Yunus Camsari, Rafatul Faria, Brian M. Sutton +1
Conventional logic and memory devices are built out of deterministic units such as transistors, or magnets with energy barriers in excess of 40-60 kT. We show that stochastic units…
Ultrafast Spin-Transfer-Torque Switching of Synthetic Ferrimagnets
Kerem Yunus Camsari, Ahmed Zeeshan Pervaiz, Rafatul Faria +2
The switching speed and the write current required for spin-transfer-torque reversal of spintronic devices such as magnetic tunnel junctions (MTJ) currently hinder their wide imple…